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README.md
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@@ -17,7 +17,7 @@ In contrast to zephyr and notus this model has been trained using german instruc
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and HuggingFaceH4/ultrafeedback_binarized were created in addition to a series of allready available instruction datasets. The LLM haoranxu/ALMA-13B was used for this.
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While the mistral model performs really well, it is not really suitable for the german language. Therefore we have used the fantastic LeoLM/leo-mistral-hessianai-7b.
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Thanks to the new type of training, Phoenix is not only able to compete with the Mistral model from LeoLM but also **beats the Llama-70b-chat model in 2 mt-bench categories**.
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This model **wouldn't have been possible without the amazing work of Huggingface, LeoLM, openbnb,
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i would like to personally thank all AI researchers who make the training of such models possible
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## MT-Bench-DE Scores
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and HuggingFaceH4/ultrafeedback_binarized were created in addition to a series of allready available instruction datasets. The LLM haoranxu/ALMA-13B was used for this.
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While the mistral model performs really well, it is not really suitable for the german language. Therefore we have used the fantastic LeoLM/leo-mistral-hessianai-7b.
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Thanks to the new type of training, Phoenix is not only able to compete with the Mistral model from LeoLM but also **beats the Llama-70b-chat model in 2 mt-bench categories**.
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This model **wouldn't have been possible without the amazing work of Huggingface, LeoLM, openbnb, argilla, the Alma-Team and many others of the AI community**.
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i would like to personally thank all AI researchers who make the training of such models possible
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## MT-Bench-DE Scores
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